Mikano Sato

1.0k citations
40 papers · 781 indexed · h-index 19
Topics
Hormonal Regulation and Hypertension (17 papers)Pharmacogenetics and Drug Metabolism (8 papers)Eicosanoids and Hypertension Pharmacology (7 papers)
Partner nations
JapanUnited StatesChina

In The Last Decade

Mikano Sato

38 papers receiving 762 citations

Peers

Mikano Sato
Comparison fields: 5 of 86
  • Endocrinology, Diabetes and Metabolism 291
  • Cardiology and Cardiovascular Medicine 208
  • Molecular Biology 183
  • Biochemistry 182
  • Pharmacology 116
Replace Sarah Vargas with:
Sarah Vargas United States
Xiangjun Zeng China
Tomofumi Takaya Japan
Yitong Ma China
Christodoulos Flordellis Greece
Seiji Umemoto Japan
Kenji Mizuno Japan
Paul Edwards United States
N G Read United Kingdom
Mikano Sato relative to Sarah Vargas United States Sarah Vargas's profile →
Citations per field
00.5×8.9×
Sarah Vargas · 1×
Citations per year

Countries citing papers authored by Mikano Sato

Since Specialization
Citations

This map shows the geographic impact of Mikano Sato's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mikano Sato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mikano Sato more than expected).

Fields of papers citing papers by Mikano Sato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mikano Sato. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mikano Sato. The network helps show where Mikano Sato may publish in the future.

Co-authorship network of co-authors of Mikano Sato

This figure shows the co-authorship network connecting the top 25 collaborators of Mikano Sato. A scholar is included among the top collaborators of Mikano Sato based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mikano Sato. Mikano Sato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 18
3 2
4 6
5 11
6 28
7 26
8 26
9 12
10 13
11 26
12 14
13 39
14 14
15 31
16
A C2077T polymorphism of the type B human natriuretic peptide receptor gene is not associated with myocardial infarction.
4
17 13
18 11
19 15
20
[Angiotensin I-converting enzyme gene polymorphism and renal disease].
0

About Mikano Sato

Mikano Sato is a scholar working on Structural Biology, Endocrinology, Diabetes and Metabolism and Biochemistry, having authored 40 papers that have together received 781 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (17 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Eicosanoids and Hypertension Pharmacology (7 papers). The work is most often cited by research in Biochemistry (182 citations), Structural Biology (30 citations) and Endocrinology, Diabetes and Metabolism (291 citations). Mikano Sato has collaborated with scholars based in Japan, United States and China. Frequent co-authors include Masayoshi Soma, Tomohiro Nakayama, Noriko Aoi, Katsuo Kanmatsuse, Yoichi Izumi, Kotoko Kosuge, Naoyuki Sato, Koichí Matsumoto, J. Orloff and Yukio Ozawa. Their work appears in journals such as Circulation Research, Biochemical and Biophysical Research Communications and Hypertension.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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